Channel-Dependent State Space Model for Multivariate Time Series Forecasting
Multivariate time series forecasting (MTSF) is critical across many real-world domains. Existing deep learning approaches fall into two paradigms with distinct limitations: channel-independent (CI) methods unconditionally ignore cross-variable dependencies and model only temporal dynamics, while channel-dependent (CD)...
Yu-Cheng Wu, Fan-Keng Sun, Li-Chun Lu et al.
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